googlechromelabs/comlink

Comlink makes WebWorkers enjoyable.

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 34 minutes ago
Added to GitGenius on September 4th, 2026
Created on September 6th, 2017
Open Issues & Pull Requests: 125 (+0)
GitHub issues: Enabled
Number of forks: 435
Total Stargazers: 12,790 (+0)
Total Subscribers: 94 (+0)

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Issue API getrepoissuespagesummary failed: 429 Rate limit exceeded. Please try again later.

Detailed Description

Comlink is a tiny library that makes WebWorkers enjoyable by removing the mental barrier of thinking about postMessage and hiding the fact that you are working with workers.

The problem Comlink solves is that keeping the main thread idle on mobile devices is critical for responsive user interactions and jank-free experiences, making WebWorkers essential for offloading work. However, the postMessage API requires developers to think in terms of message passing rather than direct function calls. Comlink addresses this by providing an RPC implementation built on ES6 Proxies that allows values from one thread to be used in another thread as if they were local, eliminating the mental overhead of message-based communication.

Comlink suits projects where developers want to move computational work off the main thread without the cognitive burden of managing postMessage directly. It works with standard WebWorkers and SharedWorkers, and the library's minimal footprint makes it practical for any project concerned with bundle size. The tool is particularly valuable for mobile-focused applications where main thread responsiveness directly impacts user experience.

The project maintains a stable, focused codebase with minimal scope creep, concentrating on the core RPC abstraction rather than expanding into adjacent concerns. Development activity shows consistent attention to cross-browser compatibility, with support maintained across major browser engines. The maintainers prioritize keeping the library extremely lightweight, with careful attention to bundle size metrics across different compression formats.